We conducted a cross-validation approach with 20 runnings, 10 iterations for the learning procedure of each RBM, and mini-batches of size 20. In addition, we also considered two learning algorithms: Contrastive Divergence (CD) [1]} and Persistent Contrastive Divergence (PCD) [2]}. Finally, the Wilcoxon signed-rank test [3]} with significance of \(0.05\)  was used for statistical validation purposes.
